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Posted to issues@spark.apache.org by "Shivaram Venkataraman (JIRA)" <ji...@apache.org> on 2017/02/07 06:50:41 UTC

[jira] [Created] (SPARK-19487) Low latency execution for Spark

Shivaram Venkataraman created SPARK-19487:
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             Summary: Low latency execution for Spark
                 Key: SPARK-19487
                 URL: https://issues.apache.org/jira/browse/SPARK-19487
             Project: Spark
          Issue Type: Umbrella
          Components: ML, Scheduler, Structured Streaming
    Affects Versions: 2.1.0
            Reporter: Shivaram Venkataraman


This JIRA tracks the design discussion for supporting low latency execution in Apache Spark. The motivation for this comes from need to support lower latency stream processing and lower latency iterations for sparse ML workloads.

Overview of proposed design (in the format of Spark Improvement Proposal) is at https://docs.google.com/document/d/1m_q83DjQcWQonEz4IsRUHu4QSjcDyqRpl29qE4LJc4s/edit?usp=sharing

Source code prototype is at: https://github.com/amplab/drizzle-spark

Lets use this JIRA to discuss high level design and we can create subtasks as we break this down into smaller PRs.

This is joint work with [~kayousterhout]



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